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Current Trends in Security Research from Oakland 2019  

(Medium Post) I attended the IEEE Oakland Security and Privacy Conference last week and thought I would share a few thoughts on the major trends I observed in the papers at the conference. These are heavily biased towards my interests in Machine Learning and by no means intended to be comprehensive. Read more

data visualization

Measuring Visual Complexity with Pixel Approximate Entropy  

(Medium Post) When designing visualizations, making charts that are straightforward to read and interpret is usually desirable. This becomes especially important in settings where users may have to make fast judgements based on the visualizations, such as in emergency rooms or on financial trading floors. In our recent paper in IEEE INFOVIS 2018, we introduce a new method for quantifying visual complexity, Pixel Approximate Entropy, that can be used to develop better visualizations in these types of settings. Read more